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  • Received: Mar. 23, 2020

    Accepted: May. 13, 2020

    Posted: Sep. 1, 2020

    Published Online: Sep. 16, 2020

    The Author Email: Lin Riqiang (rq.lin@siat.ac.cn), Gong Xiaojing (xj.gong@siat.ac.cn)

    DOI: 10.3788/CJL202047.0907003

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    Chao Li, Mingjian Sun, Liyong Ma, Yi Shen, Riqiang Lin, Xiaojing Gong. Algorithm for Three-Dimensional Enhancement of Blood Vessels in Photoacoustic Endoscopic In Vivo Imaging[J]. Chinese Journal of Lasers, 2020, 47(9): 0907003

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  • biomedical photonics and laser medicine
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Chinese Journal of Lasers, Vol. 47, Issue 9, 0907003 (2020)

Algorithm for Three-Dimensional Enhancement of Blood Vessels in Photoacoustic Endoscopic In Vivo Imaging

Li Chao1,3, Sun Mingjian1,2, Ma Liyong1, Shen Yi2, Lin Riqiang3,**, and Gong Xiaojing3,*

Author Affiliations

  • 1School of Information Science and Engineering, Harbin Institute of Technology (Weihai),Weihai, Shandong 264209, China
  • 2School of Astronautics, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China
  • 3Research Lab for Biomedical Optics and Molecular Imaging, Shenzhen Institutes of Advanced Technology,Chinese Academy of Science, Shenzhen, Guangdong 518055, China

Abstract

Gastrointestinal tumors are one of the most common types of tumors. Emerging photoacoustic imaging technology can sharply capture the information of the nourishing blood vessels surrounding the tumors, which may give potential contributions to accurate clinical diagnosis. The matched vessel enhancement algorithm can effectively highlight the vessel network. However, the detection angle of in vivo photoacoustic endoscopic imaging is limited, which results in obvious vascular structure abnormalities. It is difficult for current enhancement algorithms to effectively enhance blood vessels. Therefore, a three-dimensional vascular enhancement algorithm was developed in this investigation that fuses the information on structure and intensity of the colorectal vessel of rats, based on a self-designed endoscopic photoacoustic imaging system. The results indicate that this algorithm can effectively improve the imaging effect, suppress edge burrs brought about by mechanical vibration, and obtain in vivo high-quality three-dimensional images of the colorectal vessel, indicating that it has potential value in basic medical research and clinical applications.

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